traverseda
/
cpython
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity
cpython/Doc/c-api/init.rst

1127 lines
48 KiB
ReStructuredText
Raw Blame History

.. highlightlang:: c
.. _initialization:
*****************************************
Initialization, Finalization, and Threads
*****************************************
Initializing and finalizing the interpreter
===========================================
.. c:function:: void Py_Initialize()
.. index::
single: Py_SetProgramName()
single: PyEval_InitThreads()
single: modules (in module sys)
single: path (in module sys)
module: builtins
module: __main__
module: sys
triple: module; search; path
single: PySys_SetArgv()
single: PySys_SetArgvEx()
single: Py_Finalize()
Initialize the Python interpreter. In an application embedding Python, this
should be called before using any other Python/C API functions; with the
exception of :c:func:`Py_SetProgramName` and :c:func:`Py_SetPath`. This initializes
the table of loaded modules (``sys.modules``), and creates the fundamental
modules :mod:`builtins`, :mod:`__main__` and :mod:`sys`. It also initializes
the module search path (``sys.path``). It does not set ``sys.argv``; use
:c:func:`PySys_SetArgvEx` for that. This is a no-op when called for a second time
(without calling :c:func:`Py_Finalize` first). There is no return value; it is a
fatal error if the initialization fails.
.. c:function:: void Py_InitializeEx(int initsigs)
This function works like :c:func:`Py_Initialize` if *initsigs* is 1. If
*initsigs* is 0, it skips initialization registration of signal handlers, which
might be useful when Python is embedded.
.. c:function:: int Py_IsInitialized()
Return true (nonzero) when the Python interpreter has been initialized, false
(zero) if not. After :c:func:`Py_Finalize` is called, this returns false until
:c:func:`Py_Initialize` is called again.
.. c:function:: void Py_Finalize()
Undo all initializations made by :c:func:`Py_Initialize` and subsequent use of
Python/C API functions, and destroy all sub-interpreters (see
:c:func:`Py_NewInterpreter` below) that were created and not yet destroyed since
the last call to :c:func:`Py_Initialize`. Ideally, this frees all memory
allocated by the Python interpreter. This is a no-op when called for a second
time (without calling :c:func:`Py_Initialize` again first). There is no return
value; errors during finalization are ignored.
This function is provided for a number of reasons. An embedding application
might want to restart Python without having to restart the application itself.
An application that has loaded the Python interpreter from a dynamically
loadable library (or DLL) might want to free all memory allocated by Python
before unloading the DLL. During a hunt for memory leaks in an application a
developer might want to free all memory allocated by Python before exiting from
the application.
**Bugs and caveats:** The destruction of modules and objects in modules is done
in random order; this may cause destructors (:meth:`__del__` methods) to fail
when they depend on other objects (even functions) or modules. Dynamically
loaded extension modules loaded by Python are not unloaded. Small amounts of
memory allocated by the Python interpreter may not be freed (if you find a leak,
please report it). Memory tied up in circular references between objects is not
freed. Some memory allocated by extension modules may not be freed. Some
extensions may not work properly if their initialization routine is called more
than once; this can happen if an application calls :c:func:`Py_Initialize` and
:c:func:`Py_Finalize` more than once.
Process-wide parameters
=======================
.. c:function:: void Py_SetProgramName(wchar_t *name)
.. index::
single: Py_Initialize()
single: main()
single: Py_GetPath()
This function should be called before :c:func:`Py_Initialize` is called for
the first time, if it is called at all. It tells the interpreter the value
of the ``argv[0]`` argument to the :c:func:`main` function of the program
(converted to wide characters).
This is used by :c:func:`Py_GetPath` and some other functions below to find
the Python run-time libraries relative to the interpreter executable. The
default value is ``'python'``. The argument should point to a
zero-terminated wide character string in static storage whose contents will not
change for the duration of the program's execution. No code in the Python
interpreter will change the contents of this storage.
.. c:function:: wchar* Py_GetProgramName()
.. index:: single: Py_SetProgramName()
Return the program name set with :c:func:`Py_SetProgramName`, or the default.
The returned string points into static storage; the caller should not modify its
value.
.. c:function:: wchar_t* Py_GetPrefix()
Return the *prefix* for installed platform-independent files. This is derived
through a number of complicated rules from the program name set with
:c:func:`Py_SetProgramName` and some environment variables; for example, if the
program name is ``'/usr/local/bin/python'``, the prefix is ``'/usr/local'``. The
returned string points into static storage; the caller should not modify its
value. This corresponds to the :makevar:`prefix` variable in the top-level
:file:`Makefile` and the :option:`--prefix` argument to the :program:`configure`
script at build time. The value is available to Python code as ``sys.prefix``.
It is only useful on Unix. See also the next function.
.. c:function:: wchar_t* Py_GetExecPrefix()
Return the *exec-prefix* for installed platform-*dependent* files. This is
derived through a number of complicated rules from the program name set with
:c:func:`Py_SetProgramName` and some environment variables; for example, if the
program name is ``'/usr/local/bin/python'``, the exec-prefix is
``'/usr/local'``. The returned string points into static storage; the caller
should not modify its value. This corresponds to the :makevar:`exec_prefix`
variable in the top-level :file:`Makefile` and the :option:`--exec-prefix`
argument to the :program:`configure` script at build time. The value is
available to Python code as ``sys.exec_prefix``. It is only useful on Unix.
Background: The exec-prefix differs from the prefix when platform dependent
files (such as executables and shared libraries) are installed in a different
directory tree. In a typical installation, platform dependent files may be
installed in the :file:`/usr/local/plat` subtree while platform independent may
be installed in :file:`/usr/local`.
Generally speaking, a platform is a combination of hardware and software
families, e.g. Sparc machines running the Solaris 2.x operating system are
considered the same platform, but Intel machines running Solaris 2.x are another
platform, and Intel machines running Linux are yet another platform. Different
major revisions of the same operating system generally also form different
platforms. Non-Unix operating systems are a different story; the installation
strategies on those systems are so different that the prefix and exec-prefix are
meaningless, and set to the empty string. Note that compiled Python bytecode
files are platform independent (but not independent from the Python version by
which they were compiled!).
System administrators will know how to configure the :program:`mount` or
:program:`automount` programs to share :file:`/usr/local` between platforms
while having :file:`/usr/local/plat` be a different filesystem for each
platform.
.. c:function:: wchar_t* Py_GetProgramFullPath()
.. index::
single: Py_SetProgramName()
single: executable (in module sys)
Return the full program name of the Python executable; this is computed as a
side-effect of deriving the default module search path from the program name
(set by :c:func:`Py_SetProgramName` above). The returned string points into
static storage; the caller should not modify its value. The value is available
to Python code as ``sys.executable``.
.. c:function:: wchar_t* Py_GetPath()
.. index::
triple: module; search; path
single: path (in module sys)
single: Py_SetPath()
Return the default module search path; this is computed from the program name
(set by :c:func:`Py_SetProgramName` above) and some environment variables.
The returned string consists of a series of directory names separated by a
platform dependent delimiter character. The delimiter character is ``':'``
on Unix and Mac OS X, ``';'`` on Windows. The returned string points into
static storage; the caller should not modify its value. The list
:data:`sys.path` is initialized with this value on interpreter startup; it
can be (and usually is) modified later to change the search path for loading
modules.
.. XXX should give the exact rules
.. c:function:: void Py_SetPath(const wchar_t *)
.. index::
triple: module; search; path
single: path (in module sys)
single: Py_GetPath()
Set the default module search path. If this function is called before
:c:func:`Py_Initialize`, then :c:func:`Py_GetPath` won't attempt to compute a
default search path but uses the one provided instead. This is useful if
Python is embedded by an application that has full knowledge of the location
of all modules. The path components should be separated by semicolons.
This also causes :data:`sys.executable` to be set only to the raw program
name (see :c:func:`Py_SetProgramName`) and for :data:`sys.prefix` and
:data:`sys.exec_prefix` to be empty. It is up to the caller to modify these
if required after calling :c:func:`Py_Initialize`.
.. c:function:: const char* Py_GetVersion()
Return the version of this Python interpreter. This is a string that looks
something like ::
"3.0a5+ (py3k:63103M, May 12 2008, 00:53:55) \n[GCC 4.2.3]"
.. index:: single: version (in module sys)
The first word (up to the first space character) is the current Python version;
the first three characters are the major and minor version separated by a
period. The returned string points into static storage; the caller should not
modify its value. The value is available to Python code as :data:`sys.version`.
.. c:function:: const char* Py_GetPlatform()
.. index:: single: platform (in module sys)
Return the platform identifier for the current platform. On Unix, this is
formed from the "official" name of the operating system, converted to lower
case, followed by the major revision number; e.g., for Solaris 2.x, which is
also known as SunOS 5.x, the value is ``'sunos5'``. On Mac OS X, it is
``'darwin'``. On Windows, it is ``'win'``. The returned string points into
static storage; the caller should not modify its value. The value is available
to Python code as ``sys.platform``.
.. c:function:: const char* Py_GetCopyright()
Return the official copyright string for the current Python version, for example
``'Copyright 1991-1995 Stichting Mathematisch Centrum, Amsterdam'``
.. index:: single: copyright (in module sys)
The returned string points into static storage; the caller should not modify its
value. The value is available to Python code as ``sys.copyright``.
.. c:function:: const char* Py_GetCompiler()
Return an indication of the compiler used to build the current Python version,
in square brackets, for example::
"[GCC 2.7.2.2]"
.. index:: single: version (in module sys)
The returned string points into static storage; the caller should not modify its
value. The value is available to Python code as part of the variable
``sys.version``.
.. c:function:: const char* Py_GetBuildInfo()
Return information about the sequence number and build date and time of the
current Python interpreter instance, for example ::
"#67, Aug 1 1997, 22:34:28"
.. index:: single: version (in module sys)
The returned string points into static storage; the caller should not modify its
value. The value is available to Python code as part of the variable
``sys.version``.
.. c:function:: void PySys_SetArgvEx(int argc, wchar_t **argv, int updatepath)
.. index::
single: main()
single: Py_FatalError()
single: argv (in module sys)
Set :data:`sys.argv` based on *argc* and *argv*. These parameters are
similar to those passed to the program's :c:func:`main` function with the
difference that the first entry should refer to the script file to be
executed rather than the executable hosting the Python interpreter. If there
isn't a script that will be run, the first entry in *argv* can be an empty
string. If this function fails to initialize :data:`sys.argv`, a fatal
condition is signalled using :c:func:`Py_FatalError`.
If *updatepath* is zero, this is all the function does. If *updatepath*
is non-zero, the function also modifies :data:`sys.path` according to the
following algorithm:
- If the name of an existing script is passed in ``argv[0]``, the absolute
path of the directory where the script is located is prepended to
:data:`sys.path`.
- Otherwise (that is, if *argc* is 0 or ``argv[0]`` doesn't point
to an existing file name), an empty string is prepended to
:data:`sys.path`, which is the same as prepending the current working
directory (``"."``).
.. note::
It is recommended that applications embedding the Python interpreter
for purposes other than executing a single script pass 0 as *updatepath*,
and update :data:`sys.path` themselves if desired.
See `CVE-2008-5983 <http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2008-5983>`_.
On versions before 3.1.3, you can achieve the same effect by manually
popping the first :data:`sys.path` element after having called
:c:func:`PySys_SetArgv`, for example using::
PyRun_SimpleString("import sys; sys.path.pop(0)\n");
.. versionadded:: 3.1.3
.. XXX impl. doesn't seem consistent in allowing 0/NULL for the params;
check w/ Guido.
.. c:function:: void PySys_SetArgv(int argc, wchar_t **argv)
This function works like :c:func:`PySys_SetArgvEx` with *updatepath* set to 1.
.. c:function:: void Py_SetPythonHome(wchar_t *home)
Set the default "home" directory, that is, the location of the standard
Python libraries. See :envvar:`PYTHONHOME` for the meaning of the
argument string.
The argument should point to a zero-terminated character string in static
storage whose contents will not change for the duration of the program's
execution. No code in the Python interpreter will change the contents of
this storage.
.. c:function:: w_char* Py_GetPythonHome()
Return the default "home", that is, the value set by a previous call to
:c:func:`Py_SetPythonHome`, or the value of the :envvar:`PYTHONHOME`
environment variable if it is set.
.. _threads:
Thread State and the Global Interpreter Lock
============================================
.. index::
single: global interpreter lock
single: interpreter lock
single: lock, interpreter
The Python interpreter is not fully thread-safe. In order to support
multi-threaded Python programs, there's a global lock, called the :term:`global
interpreter lock` or :term:`GIL`, that must be held by the current thread before
it can safely access Python objects. Without the lock, even the simplest
operations could cause problems in a multi-threaded program: for example, when
two threads simultaneously increment the reference count of the same object, the
reference count could end up being incremented only once instead of twice.
.. index:: single: setswitchinterval() (in module sys)
Therefore, the rule exists that only the thread that has acquired the
:term:`GIL` may operate on Python objects or call Python/C API functions.
In order to emulate concurrency of execution, the interpreter regularly
tries to switch threads (see :func:`sys.setswitchinterval`). The lock is also
released around potentially blocking I/O operations like reading or writing
a file, so that other Python threads can run in the meantime.
.. index::
single: PyThreadState
single: PyThreadState
The Python interpreter keeps some thread-specific bookkeeping information
inside a data structure called :c:type:`PyThreadState`. There's also one
global variable pointing to the current :c:type:`PyThreadState`: it can
be retrieved using :c:func:`PyThreadState_Get`.
Releasing the GIL from extension code
-------------------------------------
Most extension code manipulating the :term:`GIL` has the following simple
structure::
Save the thread state in a local variable.
Release the global interpreter lock.
... Do some blocking I/O operation ...
Reacquire the global interpreter lock.
Restore the thread state from the local variable.
This is so common that a pair of macros exists to simplify it::
Py_BEGIN_ALLOW_THREADS
... Do some blocking I/O operation ...
Py_END_ALLOW_THREADS
.. index::
single: Py_BEGIN_ALLOW_THREADS
single: Py_END_ALLOW_THREADS
The :c:macro:`Py_BEGIN_ALLOW_THREADS` macro opens a new block and declares a
hidden local variable; the :c:macro:`Py_END_ALLOW_THREADS` macro closes the
block. These two macros are still available when Python is compiled without
thread support (they simply have an empty expansion).
When thread support is enabled, the block above expands to the following code::
PyThreadState *_save;
_save = PyEval_SaveThread();
...Do some blocking I/O operation...
PyEval_RestoreThread(_save);
.. index::
single: PyEval_RestoreThread()
single: PyEval_SaveThread()
Here is how these functions work: the global interpreter lock is used to protect the pointer to the
current thread state. When releasing the lock and saving the thread state,
the current thread state pointer must be retrieved before the lock is released
(since another thread could immediately acquire the lock and store its own thread
state in the global variable). Conversely, when acquiring the lock and restoring
the thread state, the lock must be acquired before storing the thread state
pointer.
.. note::
Calling system I/O functions is the most common use case for releasing
the GIL, but it can also be useful before calling long-running computations
which don't need access to Python objects, such as compression or
cryptographic functions operating over memory buffers. For example, the
standard :mod:`zlib` and :mod:`hashlib` modules release the GIL when
compressing or hashing data.
Non-Python created threads
--------------------------
When threads are created using the dedicated Python APIs (such as the
:mod:`threading` module), a thread state is automatically associated to them
and the code showed above is therefore correct. However, when threads are
created from C (for example by a third-party library with its own thread
management), they don't hold the GIL, nor is there a thread state structure
for them.
If you need to call Python code from these threads (often this will be part
of a callback API provided by the aforementioned third-party library),
you must first register these threads with the interpreter by
creating a thread state data structure, then acquiring the GIL, and finally
storing their thread state pointer, before you can start using the Python/C
API. When you are done, you should reset the thread state pointer, release
the GIL, and finally free the thread state data structure.
The :c:func:`PyGILState_Ensure` and :c:func:`PyGILState_Release` functions do
all of the above automatically. The typical idiom for calling into Python
from a C thread is::
PyGILState_STATE gstate;
gstate = PyGILState_Ensure();
/* Perform Python actions here. */
result = CallSomeFunction();
/* evaluate result or handle exception */
/* Release the thread. No Python API allowed beyond this point. */
PyGILState_Release(gstate);
Note that the :c:func:`PyGILState_\*` functions assume there is only one global
interpreter (created automatically by :c:func:`Py_Initialize`). Python
supports the creation of additional interpreters (using
:c:func:`Py_NewInterpreter`), but mixing multiple interpreters and the
:c:func:`PyGILState_\*` API is unsupported.
Another important thing to note about threads is their behaviour in the face
of the C :c:func:`fork` call. On most systems with :c:func:`fork`, after a
process forks only the thread that issued the fork will exist. That also
means any locks held by other threads will never be released. Python solves
this for :func:`os.fork` by acquiring the locks it uses internally before
the fork, and releasing them afterwards. In addition, it resets any
:ref:`lock-objects` in the child. When extending or embedding Python, there
is no way to inform Python of additional (non-Python) locks that need to be
acquired before or reset after a fork. OS facilities such as
:c:func:`pthread_atfork` would need to be used to accomplish the same thing.
Additionally, when extending or embedding Python, calling :c:func:`fork`
directly rather than through :func:`os.fork` (and returning to or calling
into Python) may result in a deadlock by one of Python's internal locks
being held by a thread that is defunct after the fork.
:c:func:`PyOS_AfterFork` tries to reset the necessary locks, but is not
always able to.
High-level API
--------------
These are the most commonly used types and functions when writing C extension
code, or when embedding the Python interpreter:
.. c:type:: PyInterpreterState
This data structure represents the state shared by a number of cooperating
threads. Threads belonging to the same interpreter share their module
administration and a few other internal items. There are no public members in
this structure.
Threads belonging to different interpreters initially share nothing, except
process state like available memory, open file descriptors and such. The global
interpreter lock is also shared by all threads, regardless of to which
interpreter they belong.
.. c:type:: PyThreadState
This data structure represents the state of a single thread. The only public
data member is :c:type:`PyInterpreterState \*`:attr:`interp`, which points to
this thread's interpreter state.
.. c:function:: void PyEval_InitThreads()
.. index::
single: PyEval_AcquireThread()
single: PyEval_ReleaseThread()
single: PyEval_SaveThread()
single: PyEval_RestoreThread()
Initialize and acquire the global interpreter lock. It should be called in the
main thread before creating a second thread or engaging in any other thread
operations such as ``PyEval_ReleaseThread(tstate)``. It is not needed before
calling :c:func:`PyEval_SaveThread` or :c:func:`PyEval_RestoreThread`.
This is a no-op when called for a second time.
.. versionchanged:: 3.2
This function cannot be called before :c:func:`Py_Initialize()` anymore.
.. index:: module: _thread
.. note::
When only the main thread exists, no GIL operations are needed. This is a
common situation (most Python programs do not use threads), and the lock
operations slow the interpreter down a bit. Therefore, the lock is not
created initially. This situation is equivalent to having acquired the lock:
when there is only a single thread, all object accesses are safe. Therefore,
when this function initializes the global interpreter lock, it also acquires
it. Before the Python :mod:`_thread` module creates a new thread, knowing
that either it has the lock or the lock hasn't been created yet, it calls
:c:func:`PyEval_InitThreads`. When this call returns, it is guaranteed that
the lock has been created and that the calling thread has acquired it.
It is **not** safe to call this function when it is unknown which thread (if
any) currently has the global interpreter lock.
This function is not available when thread support is disabled at compile time.
.. c:function:: int PyEval_ThreadsInitialized()
Returns a non-zero value if :c:func:`PyEval_InitThreads` has been called. This
function can be called without holding the GIL, and therefore can be used to
avoid calls to the locking API when running single-threaded. This function is
not available when thread support is disabled at compile time.
.. c:function:: PyThreadState* PyEval_SaveThread()
Release the global interpreter lock (if it has been created and thread
support is enabled) and reset the thread state to *NULL*, returning the
previous thread state (which is not *NULL*). If the lock has been created,
the current thread must have acquired it. (This function is available even
when thread support is disabled at compile time.)
.. c:function:: void PyEval_RestoreThread(PyThreadState *tstate)
Acquire the global interpreter lock (if it has been created and thread
support is enabled) and set the thread state to *tstate*, which must not be
*NULL*. If the lock has been created, the current thread must not have
acquired it, otherwise deadlock ensues. (This function is available even
when thread support is disabled at compile time.)
.. c:function:: PyThreadState* PyThreadState_Get()
Return the current thread state. The global interpreter lock must be held.
When the current thread state is *NULL*, this issues a fatal error (so that
the caller needn't check for *NULL*).
.. c:function:: PyThreadState* PyThreadState_Swap(PyThreadState *tstate)
Swap the current thread state with the thread state given by the argument
*tstate*, which may be *NULL*. The global interpreter lock must be held
and is not released.
.. c:function:: void PyEval_ReInitThreads()
This function is called from :c:func:`PyOS_AfterFork` to ensure that newly
created child processes don't hold locks referring to threads which
are not running in the child process.
The following functions use thread-local storage, and are not compatible
with sub-interpreters:
.. c:function:: PyGILState_STATE PyGILState_Ensure()
Ensure that the current thread is ready to call the Python C API regardless
of the current state of Python, or of the global interpreter lock. This may
be called as many times as desired by a thread as long as each call is
matched with a call to :c:func:`PyGILState_Release`. In general, other
thread-related APIs may be used between :c:func:`PyGILState_Ensure` and
:c:func:`PyGILState_Release` calls as long as the thread state is restored to
its previous state before the Release(). For example, normal usage of the
:c:macro:`Py_BEGIN_ALLOW_THREADS` and :c:macro:`Py_END_ALLOW_THREADS` macros is
acceptable.
The return value is an opaque "handle" to the thread state when
:c:func:`PyGILState_Ensure` was called, and must be passed to
:c:func:`PyGILState_Release` to ensure Python is left in the same state. Even
though recursive calls are allowed, these handles *cannot* be shared - each
unique call to :c:func:`PyGILState_Ensure` must save the handle for its call
to :c:func:`PyGILState_Release`.
When the function returns, the current thread will hold the GIL and be able
to call arbitrary Python code. Failure is a fatal error.
.. c:function:: void PyGILState_Release(PyGILState_STATE)
Release any resources previously acquired. After this call, Python's state will
be the same as it was prior to the corresponding :c:func:`PyGILState_Ensure` call
(but generally this state will be unknown to the caller, hence the use of the
GILState API).
Every call to :c:func:`PyGILState_Ensure` must be matched by a call to
:c:func:`PyGILState_Release` on the same thread.
The following macros are normally used without a trailing semicolon; look for
example usage in the Python source distribution.
.. c:macro:: Py_BEGIN_ALLOW_THREADS
This macro expands to ``{ PyThreadState *_save; _save = PyEval_SaveThread();``.
Note that it contains an opening brace; it must be matched with a following
:c:macro:`Py_END_ALLOW_THREADS` macro. See above for further discussion of this
macro. It is a no-op when thread support is disabled at compile time.
.. c:macro:: Py_END_ALLOW_THREADS
This macro expands to ``PyEval_RestoreThread(_save); }``. Note that it contains
a closing brace; it must be matched with an earlier
:c:macro:`Py_BEGIN_ALLOW_THREADS` macro. See above for further discussion of
this macro. It is a no-op when thread support is disabled at compile time.
.. c:macro:: Py_BLOCK_THREADS
This macro expands to ``PyEval_RestoreThread(_save);``: it is equivalent to
:c:macro:`Py_END_ALLOW_THREADS` without the closing brace. It is a no-op when
thread support is disabled at compile time.
.. c:macro:: Py_UNBLOCK_THREADS
This macro expands to ``_save = PyEval_SaveThread();``: it is equivalent to
:c:macro:`Py_BEGIN_ALLOW_THREADS` without the opening brace and variable
declaration. It is a no-op when thread support is disabled at compile time.
Low-level API
-------------
All of the following functions are only available when thread support is enabled
at compile time, and must be called only when the global interpreter lock has
been created.
.. c:function:: PyInterpreterState* PyInterpreterState_New()
Create a new interpreter state object. The global interpreter lock need not
be held, but may be held if it is necessary to serialize calls to this
function.
.. c:function:: void PyInterpreterState_Clear(PyInterpreterState *interp)
Reset all information in an interpreter state object. The global interpreter
lock must be held.
.. c:function:: void PyInterpreterState_Delete(PyInterpreterState *interp)
Destroy an interpreter state object. The global interpreter lock need not be
held. The interpreter state must have been reset with a previous call to
:c:func:`PyInterpreterState_Clear`.
.. c:function:: PyThreadState* PyThreadState_New(PyInterpreterState *interp)
Create a new thread state object belonging to the given interpreter object.
The global interpreter lock need not be held, but may be held if it is
necessary to serialize calls to this function.
.. c:function:: void PyThreadState_Clear(PyThreadState *tstate)
Reset all information in a thread state object. The global interpreter lock
must be held.
.. c:function:: void PyThreadState_Delete(PyThreadState *tstate)
Destroy a thread state object. The global interpreter lock need not be held.
The thread state must have been reset with a previous call to
:c:func:`PyThreadState_Clear`.
.. c:function:: PyObject* PyThreadState_GetDict()
Return a dictionary in which extensions can store thread-specific state
information. Each extension should use a unique key to use to store state in
the dictionary. It is okay to call this function when no current thread state
is available. If this function returns *NULL*, no exception has been raised and
the caller should assume no current thread state is available.
.. c:function:: int PyThreadState_SetAsyncExc(long id, PyObject *exc)
Asynchronously raise an exception in a thread. The *id* argument is the thread
id of the target thread; *exc* is the exception object to be raised. This
function does not steal any references to *exc*. To prevent naive misuse, you
must write your own C extension to call this. Must be called with the GIL held.
Returns the number of thread states modified; this is normally one, but will be
zero if the thread id isn't found. If *exc* is :const:`NULL`, the pending
exception (if any) for the thread is cleared. This raises no exceptions.
.. c:function:: void PyEval_AcquireThread(PyThreadState *tstate)
Acquire the global interpreter lock and set the current thread state to
*tstate*, which should not be *NULL*. The lock must have been created earlier.
If this thread already has the lock, deadlock ensues.
:c:func:`PyEval_RestoreThread` is a higher-level function which is always
available (even when thread support isn't enabled or when threads have
not been initialized).
.. c:function:: void PyEval_ReleaseThread(PyThreadState *tstate)
Reset the current thread state to *NULL* and release the global interpreter
lock. The lock must have been created earlier and must be held by the current
thread. The *tstate* argument, which must not be *NULL*, is only used to check
that it represents the current thread state --- if it isn't, a fatal error is
reported.
:c:func:`PyEval_SaveThread` is a higher-level function which is always
available (even when thread support isn't enabled or when threads have
not been initialized).
.. c:function:: void PyEval_AcquireLock()
Acquire the global interpreter lock. The lock must have been created earlier.
If this thread already has the lock, a deadlock ensues.
.. deprecated:: 3.2
This function does not update the current thread state. Please use
:c:func:`PyEval_RestoreThread` or :c:func:`PyEval_AcquireThread`
instead.
.. c:function:: void PyEval_ReleaseLock()
Release the global interpreter lock. The lock must have been created earlier.
.. deprecated:: 3.2
This function does not update the current thread state. Please use
:c:func:`PyEval_SaveThread` or :c:func:`PyEval_ReleaseThread`
instead.
Sub-interpreter support
=======================
While in most uses, you will only embed a single Python interpreter, there
are cases where you need to create several independent interpreters in the
same process and perhaps even in the same thread. Sub-interpreters allow
you to do that. You can switch between sub-interpreters using the
:c:func:`PyThreadState_Swap` function. You can create and destroy them
using the following functions:
.. c:function:: PyThreadState* Py_NewInterpreter()
.. index::
module: builtins
module: __main__
module: sys
single: stdout (in module sys)
single: stderr (in module sys)
single: stdin (in module sys)
Create a new sub-interpreter. This is an (almost) totally separate environment
for the execution of Python code. In particular, the new interpreter has
separate, independent versions of all imported modules, including the
fundamental modules :mod:`builtins`, :mod:`__main__` and :mod:`sys`. The
table of loaded modules (``sys.modules``) and the module search path
(``sys.path``) are also separate. The new environment has no ``sys.argv``
variable. It has new standard I/O stream file objects ``sys.stdin``,
``sys.stdout`` and ``sys.stderr`` (however these refer to the same underlying
file descriptors).
The return value points to the first thread state created in the new
sub-interpreter. This thread state is made in the current thread state.
Note that no actual thread is created; see the discussion of thread states
below. If creation of the new interpreter is unsuccessful, *NULL* is
returned; no exception is set since the exception state is stored in the
current thread state and there may not be a current thread state. (Like all
other Python/C API functions, the global interpreter lock must be held before
calling this function and is still held when it returns; however, unlike most
other Python/C API functions, there needn't be a current thread state on
entry.)
.. index::
single: Py_Finalize()
single: Py_Initialize()
Extension modules are shared between (sub-)interpreters as follows: the first
time a particular extension is imported, it is initialized normally, and a
(shallow) copy of its module's dictionary is squirreled away. When the same
extension is imported by another (sub-)interpreter, a new module is initialized
and filled with the contents of this copy; the extension's ``init`` function is
not called. Note that this is different from what happens when an extension is
imported after the interpreter has been completely re-initialized by calling
:c:func:`Py_Finalize` and :c:func:`Py_Initialize`; in that case, the extension's
``initmodule`` function *is* called again.
.. index:: single: close() (in module os)
.. c:function:: void Py_EndInterpreter(PyThreadState *tstate)
.. index:: single: Py_Finalize()
Destroy the (sub-)interpreter represented by the given thread state. The given
thread state must be the current thread state. See the discussion of thread
states below. When the call returns, the current thread state is *NULL*. All
thread states associated with this interpreter are destroyed. (The global
interpreter lock must be held before calling this function and is still held
when it returns.) :c:func:`Py_Finalize` will destroy all sub-interpreters that
haven't been explicitly destroyed at that point.
Bugs and caveats
----------------
Because sub-interpreters (and the main interpreter) are part of the same
process, the insulation between them isn't perfect --- for example, using
low-level file operations like :func:`os.close` they can
(accidentally or maliciously) affect each other's open files. Because of the
way extensions are shared between (sub-)interpreters, some extensions may not
work properly; this is especially likely when the extension makes use of
(static) global variables, or when the extension manipulates its module's
dictionary after its initialization. It is possible to insert objects created
in one sub-interpreter into a namespace of another sub-interpreter; this should
be done with great care to avoid sharing user-defined functions, methods,
instances or classes between sub-interpreters, since import operations executed
by such objects may affect the wrong (sub-)interpreter's dictionary of loaded
modules.
Also note that combining this functionality with :c:func:`PyGILState_\*` APIs
is delicate, because these APIs assume a bijection between Python thread states
and OS-level threads, an assumption broken by the presence of sub-interpreters.
It is highly recommended that you don't switch sub-interpreters between a pair
of matching :c:func:`PyGILState_Ensure` and :c:func:`PyGILState_Release` calls.
Furthermore, extensions (such as :mod:`ctypes`) using these APIs to allow calling
of Python code from non-Python created threads will probably be broken when using
sub-interpreters.
Asynchronous Notifications
==========================
A mechanism is provided to make asynchronous notifications to the main
interpreter thread. These notifications take the form of a function
pointer and a void argument.
.. index:: single: setcheckinterval() (in module sys)
Every check interval, when the global interpreter lock is released and
reacquired, Python will also call any such provided functions. This can be used
for example by asynchronous IO handlers. The notification can be scheduled from
a worker thread and the actual call than made at the earliest convenience by the
main thread where it has possession of the global interpreter lock and can
perform any Python API calls.
.. c:function:: int Py_AddPendingCall(int (*func)(void *), void *arg)
.. index:: single: Py_AddPendingCall()
Post a notification to the Python main thread. If successful, *func* will be
called with the argument *arg* at the earliest convenience. *func* will be
called having the global interpreter lock held and can thus use the full
Python API and can take any action such as setting object attributes to
signal IO completion. It must return 0 on success, or -1 signalling an
exception. The notification function won't be interrupted to perform another
asynchronous notification recursively, but it can still be interrupted to
switch threads if the global interpreter lock is released, for example, if it
calls back into Python code.
This function returns 0 on success in which case the notification has been
scheduled. Otherwise, for example if the notification buffer is full, it
returns -1 without setting any exception.
This function can be called on any thread, be it a Python thread or some
other system thread. If it is a Python thread, it doesn't matter if it holds
the global interpreter lock or not.
.. versionadded:: 3.1
.. _profiling:
Profiling and Tracing
=====================
.. sectionauthor:: Fred L. Drake, Jr. <fdrake@acm.org>
The Python interpreter provides some low-level support for attaching profiling
and execution tracing facilities. These are used for profiling, debugging, and
coverage analysis tools.
This C interface allows the profiling or tracing code to avoid the overhead of
calling through Python-level callable objects, making a direct C function call
instead. The essential attributes of the facility have not changed; the
interface allows trace functions to be installed per-thread, and the basic
events reported to the trace function are the same as had been reported to the
Python-level trace functions in previous versions.
.. c:type:: int (*Py_tracefunc)(PyObject *obj, PyFrameObject *frame, int what, PyObject *arg)
The type of the trace function registered using :c:func:`PyEval_SetProfile` and
:c:func:`PyEval_SetTrace`. The first parameter is the object passed to the
registration function as *obj*, *frame* is the frame object to which the event
pertains, *what* is one of the constants :const:`PyTrace_CALL`,
:const:`PyTrace_EXCEPTION`, :const:`PyTrace_LINE`, :const:`PyTrace_RETURN`,
:const:`PyTrace_C_CALL`, :const:`PyTrace_C_EXCEPTION`, or
:const:`PyTrace_C_RETURN`, and *arg* depends on the value of *what*:
+------------------------------+--------------------------------------+
| Value of *what* | Meaning of *arg* |
+==============================+======================================+
| :const:`PyTrace_CALL` | Always *NULL*. |
+------------------------------+--------------------------------------+
| :const:`PyTrace_EXCEPTION` | Exception information as returned by |
| | :func:`sys.exc_info`. |
+------------------------------+--------------------------------------+
| :const:`PyTrace_LINE` | Always *NULL*. |
+------------------------------+--------------------------------------+
| :const:`PyTrace_RETURN` | Value being returned to the caller, |
| | or *NULL* if caused by an exception. |
+------------------------------+--------------------------------------+
| :const:`PyTrace_C_CALL` | Function object being called. |
+------------------------------+--------------------------------------+
| :const:`PyTrace_C_EXCEPTION` | Function object being called. |
+------------------------------+--------------------------------------+
| :const:`PyTrace_C_RETURN` | Function object being called. |
+------------------------------+--------------------------------------+
.. c:var:: int PyTrace_CALL
The value of the *what* parameter to a :c:type:`Py_tracefunc` function when a new
call to a function or method is being reported, or a new entry into a generator.
Note that the creation of the iterator for a generator function is not reported
as there is no control transfer to the Python bytecode in the corresponding
frame.
.. c:var:: int PyTrace_EXCEPTION
The value of the *what* parameter to a :c:type:`Py_tracefunc` function when an
exception has been raised. The callback function is called with this value for
*what* when after any bytecode is processed after which the exception becomes
set within the frame being executed. The effect of this is that as exception
propagation causes the Python stack to unwind, the callback is called upon
return to each frame as the exception propagates. Only trace functions receives
these events; they are not needed by the profiler.
.. c:var:: int PyTrace_LINE
The value passed as the *what* parameter to a trace function (but not a
profiling function) when a line-number event is being reported.
.. c:var:: int PyTrace_RETURN
The value for the *what* parameter to :c:type:`Py_tracefunc` functions when a
call is returning without propagating an exception.
.. c:var:: int PyTrace_C_CALL
The value for the *what* parameter to :c:type:`Py_tracefunc` functions when a C
function is about to be called.
.. c:var:: int PyTrace_C_EXCEPTION
The value for the *what* parameter to :c:type:`Py_tracefunc` functions when a C
function has raised an exception.
.. c:var:: int PyTrace_C_RETURN
The value for the *what* parameter to :c:type:`Py_tracefunc` functions when a C
function has returned.
.. c:function:: void PyEval_SetProfile(Py_tracefunc func, PyObject *obj)
Set the profiler function to *func*. The *obj* parameter is passed to the
function as its first parameter, and may be any Python object, or *NULL*. If
the profile function needs to maintain state, using a different value for *obj*
for each thread provides a convenient and thread-safe place to store it. The
profile function is called for all monitored events except the line-number
events.
.. c:function:: void PyEval_SetTrace(Py_tracefunc func, PyObject *obj)
Set the tracing function to *func*. This is similar to
:c:func:`PyEval_SetProfile`, except the tracing function does receive line-number
events.
.. c:function:: PyObject* PyEval_GetCallStats(PyObject *self)
Return a tuple of function call counts. There are constants defined for the
positions within the tuple:
+-------------------------------+-------+
| Name | Value |
+===============================+=======+
| :const:`PCALL_ALL` | 0 |
+-------------------------------+-------+
| :const:`PCALL_FUNCTION` | 1 |
+-------------------------------+-------+
| :const:`PCALL_FAST_FUNCTION` | 2 |
+-------------------------------+-------+
| :const:`PCALL_FASTER_FUNCTION`| 3 |
+-------------------------------+-------+
| :const:`PCALL_METHOD` | 4 |
+-------------------------------+-------+
| :const:`PCALL_BOUND_METHOD` | 5 |
+-------------------------------+-------+
| :const:`PCALL_CFUNCTION` | 6 |
+-------------------------------+-------+
| :const:`PCALL_TYPE` | 7 |
+-------------------------------+-------+
| :const:`PCALL_GENERATOR` | 8 |
+-------------------------------+-------+
| :const:`PCALL_OTHER` | 9 |
+-------------------------------+-------+
| :const:`PCALL_POP` | 10 |
+-------------------------------+-------+
:const:`PCALL_FAST_FUNCTION` means no argument tuple needs to be created.
:const:`PCALL_FASTER_FUNCTION` means that the fast-path frame setup code is used.
If there is a method call where the call can be optimized by changing
the argument tuple and calling the function directly, it gets recorded
twice.
This function is only present if Python is compiled with :const:`CALL_PROFILE`
defined.
.. _advanced-debugging:
Advanced Debugger Support
=========================
.. sectionauthor:: Fred L. Drake, Jr. <fdrake@acm.org>
These functions are only intended to be used by advanced debugging tools.
.. c:function:: PyInterpreterState* PyInterpreterState_Head()
Return the interpreter state object at the head of the list of all such objects.
.. c:function:: PyInterpreterState* PyInterpreterState_Next(PyInterpreterState *interp)
Return the next interpreter state object after *interp* from the list of all
such objects.
.. c:function:: PyThreadState * PyInterpreterState_ThreadHead(PyInterpreterState *interp)
Return the a pointer to the first :c:type:`PyThreadState` object in the list of
threads associated with the interpreter *interp*.
.. c:function:: PyThreadState* PyThreadState_Next(PyThreadState *tstate)
Return the next thread state object after *tstate* from the list of all such
objects belonging to the same :c:type:`PyInterpreterState` object.
Reference in New Issue View Git Blame Copy Permalink